blog
Articles
Ideas, evidence and findings on what happens when educators create their own evidence of teaching and learning.
-
Assess what students will need
Knowledge remains the foundation of learning, but it’s no longer the finish line. AI makes traditional evidence of learning easier to hack or fake, while raising the bar of what students will need. They will need to explain, create, apply, transfer, collaborate and communicate. To support this, schools need to create richer learning experiences, and more rigorous ways to verify they are developing these capabilities.
-
Preserve the spark of humanity
Data matters. But teaching and learning depend on things today’s data rarely captures: judgment, context, relationships, adaptation, creativity, persistence and more. These sparks of humanity shape what students become, yet disappear every day. Practice and policy gets shaped by what gets measured. With evidence, those sparks can be preserved and ignited.
-
Rebuild trust in education
Everyone has more data than ever, yet too little reflects what actually happens in classrooms. Teachers, leaders and parents increasingly see different versions of reality. Students face growing suspicion as shortcuts multiply. Relationships alone don’t bridge these gaps anymore. Education depends on trust and needs a way to start rebuilding it, fast.